def test_summary_overview_aggregate(self):
data_tools = [
{
"field": "number",
"method": "line"
},
]
units_d = {"field": "number", "unit": "scalar"}
C = DictConnection()
topic_id = C.add_topic("topic",
description="description",
fields=["number"],
data_tools=data_tools,
units=[units_d])
for i in range(10):
C.add_data(topic_id, {"number": i})
result = C.get_overview(aggregate_to=3)
data = result["statistics"][0]["payload"]["data"]["datasets"][0][
"data"]
self.assertEqual(len(data), 3)
result = C.get_summary(topic_id, aggregate_to=3)
data = result["statistics"][0]["payload"]["data"]["datasets"][0][
"data"]
self.assertEqual(len(data), 3)
def test_get_summary_ignores_invalid_fields(self):
data_tools = [
{
"field": "number",
"method": "average"
},
{
"field": "number",
"method": "doughnut"
},
]
C = DictConnection()
topic_id = C.add_topic("topic",
description="description",
fields=["letter"],
data_tools=data_tools)
C.add_data(topic_id, {"letter": "a"})
summary = C.get_summary(topic_id)
self.assertEqual(summary["topic"], "topic")
self.assertEqual(summary["description"], "description")
self.assertEqual(len(summary["warnings"]), 2)
self.assertEqual(len(summary["statistics"]), 0)
def test_overview_and_comparison_include_units(self):
data_tools = [
{
"field": "number",
"method": "latest"
},
]
units_d = {"field": "number", "unit": "scalar"}
C = DictConnection()
for i in range(3):
topic_id = C.add_topic("topic_" + str(i),
description="description",
fields=["number"],
data_tools=data_tools,
units=[units_d])
C.add_data(topic_id, {"number": i})
overview = C.get_overview()
self.assertEqual(overview["topic_names"],
["topic_0", "topic_1", "topic_2"])
self.assertEqual(overview["fields"], ["number"])
self.assertEqual(len(overview["statistics"]), 3)
self.assertEqual(overview["statistics"][0]["payload"]["unit"],
"scalar")
def test_get_latest_returns_latest_data_element_for_topic(self):
C = DictConnection()
topic_id = C.add_topic("topic",
description="description",
fields=["number"])
C.add_data(topic_id, {"number": 3})
C.add_data(topic_id, {"number": 2})
C.add_data(topic_id, {"number": 1})
latest = C.get_latest(topic_id)
self.assertEqual(latest["number"], 1)
def test_latest_summary_returns_latest_item(self):
data_tools = [{"field": "letter", "method": "latest"}]
C = DictConnection()
topic_id = C.add_topic("topic",
description="description",
fields=["letter"],
data_tools=data_tools)
C.add_data(topic_id, {"letter": "a"})
C.add_data(topic_id, {"letter": "b"})
C.add_data(topic_id, {"letter": "c"})
summary = C.get_summary(topic_id)
value = summary["statistics"][0]["payload"]
self.assertEqual(value["field"], "letter")
self.assertEqual(value["type"], "latest")
self.assertEqual(value["value"], "c")
def test_get_summary_produces_summary(self):
types = (
"doughnut",
"pie",
)
data_tools = [dict(field="number", method=_type)
for _type in types] + [{
"field": "number",
"method": "average"
}]
C = DictConnection()
topic_id = C.add_topic("topic",
description="description",
fields=["number"],
data_tools=data_tools)
C.add_data(topic_id, {"number": 3})
C.add_data(topic_id, {"number": 4})
C.add_data(topic_id, {"number": 2})
summary = C.get_summary(topic_id)
self.assertEqual(summary["topic"], "topic")
self.assertEqual(summary["description"], "description")
statistics = summary["statistics"]
value = next(i for i in statistics
if i.get("type") == "value").get("payload")
self.assertAlmostEqual(value["value"], 3.0)
self.assertEqual(value["field"], "number")
self.assertEqual(value["type"], "average")
charts = [
i.get("payload") for i in statistics if i.get("type") == "chart"
]
self.assertEqual(charts, [{
"field": "number",
"type": type_,
"data": {
"datasets": [{
"data": [1, 1, 1],
"label": "topic"
}],
"labels": [2, 3, 4],
}
} for type_ in types])
def _test_run_data_tools_for_many(self, fn, data_tools):
topic_ids = []
C = DictConnection()
for i in range(3):
topic_ids.append(
C.add_topic("topic_" + str(i),
description="description",
fields=["number"],
data_tools=data_tools))
C.add_data(topic_ids[-1], {"number": 3})
C.add_data(topic_ids[-1], {"number": 4})
C.add_data(topic_ids[-1], {"number": 2})
if fn == "get_comparison":
result = C.get_overview(topic_ids)
elif fn == "get_overview":
result = C.get_overview()
self.assertEqual(result["topic_names"],
["topic_0", "topic_1", "topic_2"])
self.assertEqual(result["fields"], ["number"])
return result
def test_line_visualization_gives_timestamps_in_utc(self):
data_tools = [{"field": "number", "method": "line"}]
C = DictConnection()
topic_id = C.add_topic("topic",
description="description",
fields=["number"],
data_tools=data_tools)
C.add_data(topic_id, {"number": 1})
C.add_data(topic_id, {"number": 2})
C.add_data(topic_id, {"number": 3})
summary = C.get_summary(topic_id)
chart = summary["statistics"][0]["payload"]
self.assertEqual(chart["field"], "number")
self.assertEqual(chart["type"], "line")
iso8601z_re = r"\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}.\d{6}Z"
field_to_test = chart["data"]["datasets"][0]["data"][0]["x"]
self.assertRegex(field_to_test, iso8601z_re)
def test_last_truthy_falsy_summary_returns_correct_timestamp(self):
data_tools = [{
"field": "onoff",
"method": "last_truthy"
}, {
"field": "onoff",
"method": "last_falsy"
}]
C = DictConnection()
topic_id = C.add_topic("topic",
description="description",
fields=["onoff"],
data_tools=data_tools)
for i in [False, True, False, True]:
C.add_data(topic_id, {"onoff": i})
summary = C.get_summary(topic_id)
data = C.get_data(topic_id)
self.assertEqual(summary["statistics"][0]["payload"]["value"],
data[3]["timestamp"])
self.assertEqual(summary["statistics"][1]["payload"]["value"],
data[2]["timestamp"])
def test_get_summary_writes_warning_to_output_when_unsupported_method_requested(
self):
data_tools = [
{
"field": "number",
"method": "cow"
},
{
"field": "number",
"method": "moose"
},
]
C = DictConnection()
topic_id = C.add_topic("topic",
description="description",
fields=["number"],
data_tools=data_tools)
C.add_data(topic_id, {"number": 3})
summary = C.get_summary(topic_id)
self.assertEqual(summary["warnings"], [
'The requested method "cow" is not supported.',
'The requested method "moose" is not supported.'
])
def test_get_summary_average_ignores_invalid_values(self):
data_tools = [{"field": "number", "method": "average"}]
C = DictConnection()
topic_id = C.add_topic("topic",
description="description",
fields=["number"],
data_tools=data_tools)
C.add_data(topic_id, {"number": 3})
C.add_data(topic_id, {"number": None})
C.add_data(topic_id, {"number": "Not a number"})
summary = C.get_summary(topic_id)
self.assertEqual(summary["topic"], "topic")
self.assertEqual(summary["description"], "description")
value = summary["statistics"][0]["payload"]
self.assertAlmostEqual(value["value"], 3.0)
self.assertEqual(value["field"], "number")
self.assertEqual(value["type"], "average")